Metadata-Version: 2.4
Name: biothresh
Version: 0.1.0
Summary: Adaptive thresholding toolkit for bioimages
Author: Ivan Klimovich
Author-email: Ivan Klimovich <your.email@example.com>
License: MIT
Project-URL: Homepage, https://github.com/ivanklimovich19/biothresh
Project-URL: Issues, https://github.com/ivanklimovich19/biothresh/issues
Classifier: Development Status :: 3 - Alpha
Classifier: Intended Audience :: Science/Research
Classifier: Topic :: Scientific/Engineering :: Bio-Informatics
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Requires-Python: >=3.8
Description-Content-Type: text/markdown
Requires-Dist: numpy
Requires-Dist: scipy
Requires-Dist: scikit-image
Requires-Dist: matplotlib
Dynamic: author

# Biothresh

**Adaptive thresholding toolkit for bioimages**

## Installation

```bash
pip install biothresh
```

## Quick Start

```python
from biothresh import BioThreshold
from skimage import data

image = data.camera()
bt = BioThreshold(method='sauvola', window_size=35)
mask = bt.apply(image)
```

## Features

*   Local thresholding methods: Niblack, Sauvola, Phansalkar, Feng, Local Otsu, Local Entropy.
*   Preprocessing: CLAHE, Background subtraction, Homomorphic filter.
*   Postprocessing: Object cleaning and splitting.
*   Integration with Cellpose.

## License

This project is licensed under the MIT License.
